Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments – building for Unified Commerce. With Terminal, businesses can unify their in-person and online experiences, unlocking payments use cases that are right for their business model – whether it’s creating a modern retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event.

Within Terminal, the Developer Productivity team empowers mobile, full-stack and embedded/firmware engineers to ship high-quality products quickly and safely. We build tools, processes and infrastructure that accelerate engineers across multiple teams. Our work is critical to supporting Stripe’s in-person payment products and, ultimately, to helping increase the GDP of the internet.

We own a diverse tech stack, including build and developer productivity tooling for mobile engineers; release tooling that enables Terminal releases across SDKs, Android apps and firmware; and test automation infrastructure that helps product engineers ensure the quality and reliability of what they ship. As an engineer on this team, you’ll shape and deliver major pieces of this tooling and infrastructure and help raise the bar for developer experience across Terminal.

What you’ll do

Responsibilities

• Design, build and maintain tools, libraries and infrastructure that improve the productivity of Terminal engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD and test automation systems for Terminal SDKs, Android apps and firmware.
• Work with stakeholders across Terminal to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.
• Based in the PST time zone

Preferred qualifications

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

ABOUT THE JOB:

We are looking for a Salesforce Software Developer to join our team as we build out a robust suite of products and functionality to help our rapidly growing Growth, Business Development, Legal, Investor Relations, Deployment Operations, and other teams who all use Salesforce as their “home base”. If you are passionate about build in Salesforce and want to join the most mission-oriented and passionate group of coworkers you’ll ever meet, this job is for you!

WHAT YOU'LL DO:

• Partner with the Salesforce Product Manager to ensure that the Salesforce GovCloud platform is fully aligned with business objectives by maximizing the platforms capabilities and architecting scalable solutions.
• Design and customize Salesforce solutions on Salesforce Government Cloud Plus, ensuring they align with industry best practices and meet the organization's objectives.
• Support CRMA and configure new analytics dashboards, manage and create data recipes as needed.
• Collaborate with developers to implement custom solutions when necessary, ensuring scalability and maintainability.
• Develop and maintain technical documentation, including system architecture, configurations, and customizations.
• Automate business processes using Salesforce automation tools such as LWC, flexi page, Formulas, Flow, Assignment Rules, Validation Rules, Approval Processes, Email and Slack alerts.
• Build integrations between Salesforce and external applications using REST, SOAP APIs, oAuth, SSO.
• Partner with internal integration teams as needed when Salesforce needs to consume or push data to other internal platforms (i.e.; ERP)
• Migrate changes from development/testing environments to production and conduct required smoke testing as needed.
• Provide support to end-users, fostering a culture of self-sufficiency and user adoption.
• Adhere to defined coding standards, maintain code documentation and develop well-structured, maintainable/scalable and easy to understand code.
• Determine when Apex code is needed to meet a capability end goal, always striving to seek out low code/no code options when realistic.
• Perform data updates / migration using Data Loader as needed.
• Interface with the Salesforce data backup and recovery tool as needed.
• Stay current with new Salesforce technologies, platform enhancements, releases, industry trends, implement best practices and engaging in regular Salesforce release readiness activities.

REQUIRED QUALIFICATIONS:

• 5 - 7 years of total IT experience with at least 4+ years of Salesforce platform development experience
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Strong Salesforce customization and configuration experience, preferably in Sales Cloud. Experience in Government Cloud a preferred.
• Hands on development experience using Salesforce configuration and customizations including Apex, Triggers, Scheduled and Batch classes, Formulas, Flow, Approval Processes, Validation and Assignment Rules etc.
• Development experience in UI technologies like Bootstrap, Lightening Design System (LDS), Lightening Components Development, jQuery, JavaScript, HTML/CSS
• Strong foundation in Object-Oriented Programming (OOP) principles.
• Proven experience with CI/CD version control systems, including GitHub
• Experience with FFLIB (Apex Common Framework).
• Strong debugging and performance optimization skills in Salesforce environments.
• Proven integration experience using integration techniques - REST, SOAP APIs, oAuth and SSO
• Experienced in Standard/Custom Object creation and relationships
• Excellent analytical and problem-solving skills with keen attention to detail.
• Knowledge of software development lifecycle and DevOps tools (i.e.; JIRA, Salesforce DX, Salesforce CLI, etc.)
• A thorough understanding of Continuous Integration/Continuous Delivery/Deployment and tools such as GitHub actions.
• Proven ability to assess the impact of new requirements on SFDC and all upstream and downstream applications, flows and processes.
• Strong communication and interpersonal skills to effectively collaborate with diverse teams - including stakeholders and end users.
• Exceptional organizational and communication skills (both written and oral).
• Strong preference for Salesforce developer certifications - Certified Platform Developer I, and Certified Platform Developer II.
• Experience, or familiarity, with Agentforce is a plus.
• Strong Salesforce customization and configuration experience in Service Cloud, major plus.
• Aerospace and Defense industry experience is a major plus.
• AWS experience is a major plus.
• Bonus points for experience with Communities/Experience Cloud, CRMA tools and methodologies (CRM Analytics - formerly known as Tableau CRM, Einstein Analytics).

Team Overview

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.

Job Description

We're looking for a senior software engineer to design and build the systems that keep Anduril's software secure. This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale. The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem. If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Key Responsibilities

• Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows
• Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale
• Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations
• Design APIs and CLIs that integrate security tooling into developer workflows without creating friction
• Develop data pipelines that aggregate, normalize, and route findings from multiple scanning engines into vulnerability management systems
• Collaborate with engineering teams across Anduril to understand their security needs and build tooling that addresses them
• Evaluate third-party security tools and build custom integrations or replacements where needed
• Participate in on-call rotation for security tooling infrastructure

Required Qualifications

• 5+ years of experience designing and developing production software systems
• Strong proficiency in Go — this is the team's primary language for backend services
• Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)
• Proficiency with Python for scripting, automation, and tooling
• Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)
• Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it
• Strong communication skills with the ability to work across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with CI/CD systems (CircleCI, GitHub Actions) and building integrations for developer workflows
• Familiarity with container security concepts, SBOM generation tools (Syft), and vulnerability scanners (Trivy, Grype, Semgrep)
• Experience with Terraform and infrastructure-as-code
• Experience with policy-as-code frameworks (OPA/Rego, Conftest)
• Background in application security or product security engineering
• Experience with Kubernetes and container orchestration
• Familiarity with Nix build systems

About the Role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. 

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

Deadline to apply: None. Applications will be reviewed on a rolling basis.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $183,040 - $228,800

*This is a hybrid role

JR: 2025-7129

#LI-Hybrid

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a hybrid role

JR: 2026-7494

#LI-Hybrid

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

ABOUT US

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.

Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.

We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!

OUR VALUES

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.

High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.

Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.

Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.

Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.

Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

ABOUT THE JOB

We are seeking a Senior DevOps Engineer with 5+ years of experience to join our dynamic team, helping drive the development, deployment, and operation of cloud, mobile, IoT, embedded, and edge compute solutions. You'll work across a wide technical landscape and play a critical role in shaping our infrastructure, CI/CD, and developer experience.

This is a hybrid role based in our Seattle office, requiring a minimum of three days per week in-office.

Responsibilities:

• Design, implement, and maintain robust CI/CD pipelines leveraging GitHub Actions building software using Gradle which is delivered using Argo CD, Kargo and modern DevOps tooling.
• Manage and scale containerized applications across cloud and edge environments using Kubernetes.
• Build and manage infrastructure using Terraform, applying industry best practices for IaC.
• Support build, packaging, and deployment workflows for services written in Java, Go, Python, and C++.
• Collaborate with embedded and systems engineering teams working with Xilinx, Yocto, and other embedded OS environments.
• Automate and optimize ML Ops workflows for machine learning deployment and validation.
• Improve reliability, scalability, and security across systems spanning mobile, cloud, IoT, and edge compute. 
• Ensure DevOps systems and practices meet SOC 2 requirements, including access controls, audit logging, and change management across build and deployment infrastructure.
• Troubleshoot and resolve complex issues across distributed systems, including deep debugging within Linux and networking layers.

ABOUT YOU

Required:

• Design, implement, and maintain robust CI/CD pipelines leveraging GitHub Actions building software using Gradle which is delivered using Argo CD, Kargo and modern DevOps tooling.
• Manage and scale containerized applications across cloud and edge environments using Kubernetes.
• Build and manage infrastructure using Terraform, applying industry best practices for IaC.
• Support build, packaging, and deployment workflows for services written in Java, Go, Python, and C++.
• Collaborate with embedded and systems engineering teams working with Xilinx, Yocto, and other embedded OS environments.
• Automate and optimize ML Ops workflows for machine learning deployment and validation.
• Improve reliability, scalability, and security across systems spanning mobile, cloud, IoT, and edge compute. 
• Ensure DevOps systems and practices meet SOC 2 requirements, including access controls, audit logging, and change management across build and deployment infrastructure.
• Troubleshoot and resolve complex issues across distributed systems, including deep debugging within Linux and networking layers.

Preferred:

• Experience integrating iOS/Android mobile build pipelines into larger CI/CD workflows.
• Background with IoT device regression systems, firmware pipelines, or embedded testing frameworks.
• Knowledge of monitoring and logging solutions for distributed and embedded environments.

WHAT YOU'LL DO

In your first 30 days, you will:

• Gain a strong understanding of the existing build, cloud, and deployment systems.
• Fix 2–3 defects or small features that improve reliability, reduce friction, or enhance developer workflows.

In your first 60 days, you will:

• Ramp into additional build, embedded, and regression systems.
• Begin asserting ownership over IoT regression infrastructure and ML Ops pipelines.
• Contribute to Terraform-based infrastructure and IaC workflows.

In your first 90 days, you will:

• Remove or significantly reduce dependencies on Cloud Run / Cloud Functions, migrating workloads to Kubernetes.
• Play a key role in enabling ephemeral development environments.
• Take ownership of cloud cost visibility and deliver a reduction plan informed by usage analysis, architectural recommendations, and workload migration opportunities

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $130,000 - $180,000. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. 

Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Sr SWE -AI

Senior Software Engineer, AI Platform (Corporate AI Team)

Team & Role Overview

Axon’s Corporate AI Team sits within the Enterprise Data organization and focuses on internal-facing AI solutions that help Axon employees do more high‑value work with less manual effort. The team builds and operates Cortex, Axon’s internal AI platform that provides GPT‑class models, chat assistants, and secure integrations with systems like Quip, Jira, Slack, Microsoft 365, Snowflake, and more.
We’re looking for a Senior Software Engineer, AI Platform to help design, build, and scale this platform. In this role, you’ll:

• Own core services and integrations that power AI experiences for thousands of Axon employees.
• Collaborate with Corporate AI, Data Engineering, and business teams to turn real workflows into secure, reliable AI‑powered tools.
• Help define best practices and patterns for building production‑grade LLM and agentic workloads at Axon.

This is a hands‑on senior IC role—you’ll spend most of your time designing, coding, and operating production systems, not managing people.

What You’ll Do

Build and Evolve the AI Platform

• Design, build, and operate services that power Axon’s internal AI platform (Cortex), including chat experiences, agents, and integrations with enterprise systems.
• Implement and standardize patterns for deploying AI‑driven applications (APIs, web services, workflows, agents) across Axon’s cloud environments.
• Own and extend connectors and MCP integrations (e.g., Jira, Quip, Slack, M365, Snowflake) that allow LLMs to safely read and write data in Axon systems.
• Measure and improve reliability, latency, and cost for AI workloads, using telemetry and feedback from real users.

Deployment, Integration, and Reliability

• Drive the end‑to‑end lifecycle of new AI features—from prototype to hardened production service (design, implementation, testing, rollout, and operations).
• Evaluate new AI services (e.g., OpenAI, AWS Bedrock, Azure ML) for fit, performance, and cost; recommend and implement the right options for each use case.
• Implement monitoring, alerting, and auditing for AI services, ensuring we can trace usage, detect anomalies, and keep systems healthy in production.

Enablement, Best Practices, and Architecture

• Help define and document best practices for GPT/LLM solution development, including prompt engineering, RAG patterns, agentic workflows, and safe tool use.
• Partner with Corporate AI and Enterprise Architects to shape reference architectures for AI‑enabled apps and workflows (scalability, resiliency, observability, data access).
• Contribute to internal starter kits, training content, and templates that help other engineers and analysts build on the platform effectively.

Security, Governance, and Responsible AI

• Implement and maintain secure patterns for API key management, secrets, and access to models and data sources, aligned with Axon’s security and compliance standards.
• Work with Data, Security, and Governance partners to operationalize responsible AI guardrails—e.g., model selection, data minimization, logging, and usage controls.
• Ensure that new capabilities respect permissions, auditing, and policy requirements across systems like Jira, Quip, Slack, M365, and Snowflake.

Collaboration and Communication

• Collaborate closely with Data Engineering, Solution Architecture, and business teams (Finance, Sales, Operations, etc.) to turn real workflows into repeatable AI solutions.
• Clearly communicate design decisions, trade‑offs, and status to technical and non‑technical stakeholders.
• Participate in brainstorming and discovery sessions to identify “big dumb problems worth solving” with AI and automation.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4+ years of professional software engineering experience, including building and operating production services or platforms.
• Strong proficiency in at least one of: Python, TypeScript/JavaScript, or Java.
• Experience with at least one major cloud provider (AWS, Azure, or GCP) and comfort working with cloud‑native services (functions, containers, managed databases, queues, storage).
• Solid understanding of web service fundamentals (APIs, authentication/authorization, observability, CI/CD) and how to build reliable, maintainable systems.
• Demonstrated interest in AI/ML and LLMs—for example, integrating with OpenAI, Bedrock, or similar APIs; building GPT‑style apps; or using AI‑assisted development tools.
• Basic understanding of security best practices (secrets management, least‑privilege access, audit logging) and eagerness to deepen this in the context of AI platforms.
• Strong communication and collaboration skills, with comfort working in a fast‑moving, experimental environment.

Preferred Experience

You don’t need all of these, but experience in several of the following will help you ramp quickly:

• Hands‑on work with LLM platforms and tools, such as OpenAI (ChatGPT / APIs), AWS Bedrock, Azure OpenAI, or Azure ML Studio.
• Experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake—especially via APIs or connectors.
• Familiarity with RAG (Retrieval‑Augmented Generation), semantic search, or vector stores in production contexts.
• Exposure to DevOps / platform engineering: Terraform or similar IaC, GitHub Actions or other CI/CD systems, containerization (Docker, Kubernetes), and application monitoring stacks.
• Experience building internal platforms or self‑service tools used by multiple teams.
• Participation in enablement activities (internal trainings, office hours, documentation, or community programs like Axon’s Champions Circle) is a plus.

Senior DevSecOps Engineer

About us

Hyperproof is on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful new software platform.  With Hyperproof, companies can save time and money while also operating their programs at a much higher level of effectiveness and accountability.  We envision a world where organizations we depend on are truly trustworthy - and Hyperproof is the platform that will get them there.

We have a great team and culture - picture yourself in a highly collaborative startup environment where you can make a real impact on something truly important. It’s an exciting time to be at Hyperproof; we raised our Series B round in 2023, validating our teamwork and company vision, and we continue to grow rapidly. 

As we continue to grow, we are seeking a talented Senior DevSecOps Engineer to join our team and lead our efforts in supporting our multi-region, FedRAMP-authorized infrastructure.

WHO YOU ARE:

You are a seasoned Senior DevSecOps Engineer with a passion for ensuring the reliability, scalability, and security of cloud-based infrastructure. You thrive in dynamic environments and possess a deep understanding of Azure technologies. Your expertise in DevOps methodologies and security practices, and federal compliance standards makes you an invaluable asset to any team.

You excel at collaborating with cross-functional teams and are dedicated to driving innovation and continuous improvement. You understand that compliance and developer velocity are not opposing forces — and you know how to architect systems that deliver both.

WHAT YOU WILL DO:

As a Senior DevSecOps Engineer, you will lead the management and optimization of Hyperproof's Azure-based infrastructure across commercial and FedRAMP regions. Your responsibilities will include:

• Develop and execute DevOps strategy tailored to all Hyperproof regions, including our FedRAMP-authorized environments.
• Own and evolve our Terraform/Terragrunt IaC pipeline for multi-subscription promotion, including continuous monitoring
• Architect secure, scalable platform infrastructure including GitHub Actions, GitLab, and ADO CI/CD pipelines with security gates, Kubernetes environments, observability systems, and compliance automation that enables developer  velocity while maintaining continuous compliance posture.
• Support FedRAMP authorization activities: contribute to SSP documentation, NIST 800-53  control implementations, 3PAO coordination, and readiness assessments while establishing  repeatable processes.
• Lead the design and security implementation of our Seattle-based on-premise build/test platform. You will ensure that physical hardware configurations (firmware, networking, and storage layout) maintain parity with our Azure Kubernetes Service (AKS) patterns while meeting strict SOC 2 compliance standards for local developer workflows.
• Establish security and compliance architecture patterns across encryption, network  segmentation, secrets management, supply chain security, and incident response.
• Drive technical decisions and technology selection for cloud platforms, compliance tooling, and security controls.
• Mentor and raise the technical bar across engineering teams through architecture reviews,  design discussions, and establishing FedRAMP best practices.
• Partner with security, product, and business leadership to translate federal customer  requirements into technical architecture and deliver measurable improvements in security  posture and operational efficiency.
• Monitor, triage, and remediate CVEs and security vulnerabilities across infrastructure,  container images, and dependencies — maintaining compliance with FedRAMP continuous monitoring requirements.

WHAT YOU WILL BRING:
Required:

• U.S. citizenship, residing and working from within the United States.*
• BS in Computer Science, Engineering, or a related field (or equivalent  experience).
• 5+ years of extensive experience in SRE, DevSecOps or Platform engineering roles, with a focus on managing  Azure-based infrastructure.
• Demonstrated knowledge and interest in applying AI technologies towards fully or partially automating compliance & security workflows
• Strong programming skills (Python, Bash, Go, or Node.js) and demonstrated ability to drive complex technical initiatives from architecture through production.
• Expertise in modern platform technologies: Kubernetes security, infrastructure-as-code (Terraform/Terragrunt), GitOps (Helm/ArgoCD/Flux), Ansible, CI/CD security, observability systems, and secrets management.
• Familiarity with compliance standards and regulations, particularly NIST 800-53 and  FedRAMP.
• Excellent communication and collaboration skills, with the ability to work effectively in  a cross-functional team environment.
• A positive attitude and a willingness to learn, adapt, collaborate, and grow in a dynamic  environment.
  
  

Preferred:

• Experience contributing to FedRAMP authorization efforts (Moderate or High), including SSP documentation, control implementation, or 3PAO coordination.
• Experience with Azure networking, and security boundaries.
• Experience with compliance automation, supply chain security (SBOM, image signing), or secrets management at scale.
• Professional certifications: CISSP, Azure Security Specialty, CKS, or equivalent.
• Familiarity with CMMC, OSCAL, or compliance-as-code practices.
• Experience with vulnerability scanning and remediation tooling (e.g., Trivy, Snyk, Qualys, or Defender for Cloud).
• Advanced degree in Computer Science or related field, or equivalent experience architecting secure, compliant platforms at scale.

LOCATION

Candidate must be local within the Seattle area; available to work until 6pm Pacific on a daily basis.

CANDIDATE EXPERIENCE

We respect your time and aim for transparency throughout the interview process. You can expect:

• A 30-minute initial chat with our Principal People & Talent Partner.
• A Take Home Assessment, which you will work on within GitHub.
• Three 60-minute 1:1 interviews with members of our engineering team, one of them who will be the hiring manager.

This process allows both parties to ask questions and gauge fit for the team.

*Due to the nature of the work and participation in federal security and compliance programs, U.S. citizenship is required as a bona fide occupational qualification in accordance with federal government security and compliance regulations. This role requires physical presence within the United States while working — access to FedRAMP-authorized  environments from outside U.S. borders is not permitted.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

The base pay range for this position is $214,000 - $294,800  annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As a Staff Software Architect within the Product organization, you will be responsible for architecting and delivering the next suite of services that power the PitchBook platform. You will be essential in guiding one or more technical teams to build exceptional solutions relied upon and used by thousands of PitchBook customers every day and work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business.

The team will rely on your broad and deep experience in building and delivering comprehensive cloud solutions and full understanding of the team’s business domain to shape principles and practices and capture just-in-time decisions based on trade-off analysis. With your strong analytical skills, you’ll be able to break down abstract and complex problems into smaller problems and apply Domain Driven Design approaches such as identifying bounded contexts and establishing a decomposition process. You will be expected to devise solutions based on limited information and precedent to find creative ways to tackle challenges. It is essential that you will be able to interpret, assess, and resolve a wide range of issues and be able to select the right course of action.

You will collaborate with external and internal stakeholders of different roles and backgrounds and who may have varying degrees of understanding of the domain. You may need to adapt your style of communication based on the audience you are interacting with and will be relied on to influence decisions to build optimal solutions to complex challenges. Additionally, as a technical expert in a broad set of domains, you will be expected to engage actively in promoting architecture guidelines, principles, and practices across team(s) and be a driver for consistency and alignment for cross cutting concerns using influence and effective communication with technical and non-technical stakeholders.

Lastly, you exhibit a growth mindset, are willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Primary Job Responsibilities:

• Architect, design, develop, and maintain components of PitchBook’s services including backend with aspects of front-end related to architecture (micro front-end patterns). Hands-on development will be part of the responsibilities
• Ensure qualities/non-functional requirements of the platforms and products are defined, measurable, and continuously evaluated to deliver the right product to our users
• Document architecture evolutions (current state, future state, phasing) and communicate architecture and elaborate with teams
• Implement well-designed, testable, and efficient code that meets product requirements, coding standards, performance, scalability, reliability, and the organization’s goals and principles
• Collaborate with other engineers, product managers, and other internal stakeholders in an Agile environment
• Provide technical guidance and perform architectural reviews with team members
• Design and deliver on end-to-end initiatives with little to no guidance
• Define and participate in processes that improve products using return on experience, root cause analysis of incidents
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Skills and Qualifications:

• Degree in Computer Science, Information Systems, or a similar field
• 8+ years of experience in a Software Development or Engineering role with a Bachelor's Degree, 6+ years of experience in a Software Development or Engineering role with a Master's degree, or 3+ years of experience in a Software Development or Engineering role with a PhD
• 4+ years of experience with Java or a similar object-oriented language
• 2+ years of experience developing microservices
• Experienced in Service-Oriented & Microservices Architecture, Cloud Architecture, Domain Driven Design (DDD), Clean Architecture, and Hexagonal Architecture
• Fluent in identifying and applying architecture patterns and designing RESTful API
• Experience working on middleware, platform, or system of systems
• Experienced with web technologies and standards (e.g., JSON, JWT)
• Experienced with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experienced in Spring Boot/Spring Framework
• Experienced with Container orchestration software (e.g., Kubernetes)
• Experience with Agentic AI architecture: Proven track record of designing systems using LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or equivalent) for complex reasoning tasks
• Experience designing standard interfaces and integrations with Model Context Protocol (MCP) that allow AI models and agents to securely and efficiently access structured and unstructured data
• Demonstrated experience designing AI-native data backends, including schema design oriented for LLM consumption
• Experienced in using AI for productivity and efficiency (GitHub Copilot, Claude, Gemini CLI, or other similar technology)
• Highly experienced working within development teams in an Agile environment
• Ability to handle a project through the entire software development lifecycle, end to end
• Demonstrate ability to lead and/or provide guidance to junior peers across multiple teams
• Excellent written and verbal communication skills
• Strong problem-solving ability
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $235,000-$280,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As a Staff Software Architect within the Product organization, you will be responsible for architecting and delivering the next suite of services that power the PitchBook platform. You will be essential in guiding one or more technical teams to build exceptional solutions relied upon and used by thousands of PitchBook customers every day and work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business.

The team will rely on your broad and deep experience in building and delivering comprehensive cloud solutions and full understanding of the team’s business domain to shape principles and practices and capture just-in-time decisions based on trade-off analysis. With your strong analytical skills, you’ll be able to break down abstract and complex problems into smaller problems and apply Domain Driven Design approaches such as identifying bounded contexts and establishing a decomposition process. You will be expected to devise solutions based on limited information and precedent to find creative ways to tackle challenges. It is essential that you will be able to interpret, assess, and resolve a wide range of issues and be able to select the right course of action.

You will collaborate with external and internal stakeholders of different roles and backgrounds and who may have varying degrees of understanding of the domain. You may need to adapt your style of communication based on the audience you are interacting with and will be relied on to influence decisions to build optimal solutions to complex challenges. Additionally, as a technical expert in a broad set of domains, you will be expected to engage actively in promoting architecture guidelines, principles, and practices across team(s) and be a driver for consistency and alignment for cross cutting concerns using influence and effective communication with technical and non-technical stakeholders.

Lastly, you exhibit a growth mindset, are willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Primary Job Responsibilities:

• Architect, design, develop, and maintain components of PitchBook’s services including backend with aspects of front-end related to architecture (micro front-end patterns). Hands-on development will be part of the responsibilities
• Ensure qualities/non-functional requirements of the platforms and products are defined, measurable, and continuously evaluated to deliver the right product to our users
• Document architecture evolutions (current state, future state, phasing) and communicate architecture and elaborate with teams
• Implement well-designed, testable, and efficient code that meets product requirements, coding standards, performance, scalability, reliability, and the organization’s goals and principles
• Collaborate with other engineers, product managers, and other internal stakeholders in an Agile environment
• Provide technical guidance and perform architectural reviews with team members
• Design and deliver on end-to-end initiatives with little to no guidance
• Define and participate in processes that improve products using return on experience, root cause analysis of incidents
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Skills and Qualifications:

• Degree in Computer Science, Information Systems, or a similar field
• 8+ years of experience in a Software Development or Engineering role with a Bachelor's Degree, 6+ years of experience in a Software Development or Engineering role with a Master's degree, or 3+ years of experience in a Software Development or Engineering role with a PhD
• 4+ years of experience with Java or a similar object-oriented language
• 2+ years of experience developing microservices
• Experienced in Service-Oriented & Microservices Architecture, Cloud Architecture, Domain Driven Design (DDD), Clean Architecture, and Hexagonal Architecture
• Fluent in identifying and applying architecture patterns and designing RESTful API
• Experience working on middleware, platform, or system of systems
• Experienced with web technologies and standards (e.g., JSON, JWT)
• Experienced with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experienced in Spring Boot/Spring Framework
• Experienced with Container orchestration software (e.g., Kubernetes)
• Experience with Agentic AI architecture: Proven track record of designing systems using LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or equivalent) for complex reasoning tasks
  
• Experience designing standard interfaces and integrations with Model Context Protocol (MCP) that allow AI models and agents to securely and efficiently access structured and unstructured data
  
• Demonstrated experience designing AI-native data backends, including schema design oriented for LLM consumption
• Experienced in using AI for productivity and efficiency (GitHub Copilot, Claude, Gemini CLI, or other similar technology)
• Highly experienced working within development teams in an Agile environment
• Ability to handle a project through the entire software development lifecycle, end to end
• Demonstrate ability to lead and/or provide guidance to junior peers across multiple teams
• Excellent written and verbal communication skills
• Strong problem-solving ability
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $235,000-$280,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

Submit your resume here to express interest. We review general engineering applicants regularly and will reach out as relevant roles become available.

Our engineering organization builds the foundation, services, and capabilities that power ExtraHop’s industry leading products. Engineers at ExtraHop work across a wide range of challenges that include systems level development, performance optimization, distributed services, network data processing, and user facing features.

We offer an engaging and collaborative environment where engineers are encouraged to design thoughtfully, communicate clearly, and deliver high quality solutions. We value curiosity, ownership, and a willingness to dive deep into complex technologies while contributing to a positive, inclusive culture.

General Key Responsibilities

• Design, build, and maintain high quality software components that contribute to ExtraHop’s core platform and product capabilities.
  
  
• Collaborate closely with engineering peers, product management, UX, QA, and other partners to define requirements, architecture, and implementation details.
  
  
• Participate in code reviews, technical discussions, and architectural planning to ensure quality, stability, scalability, and long term maintainability.
  
  
• Debug, troubleshoot, and improve software running in real world customer environments.
  
  
• Support performance, scalability, and reliability initiatives through measurement, analysis, and optimization.
  
  
• Contribute to test automation, CI/CD processes, and modern engineering practices.
  
  
• Participate in agile development methodologies and help continuously improve team processes.
  
  
• Demonstrate ownership, technical curiosity, and a commitment to continuous learning.
  
  
• Model ExtraHop’s core engineering values which include collaboration, kindness, customer focus, and building technology that matters.
  
  

Often Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  
  
• Strong programming skills in one or more of the following languages: Go, Python, C, C++, Rust, JavaScript, or TypeScript.
  
  
• Experience developing software on Linux or Unix environments, including debugging, tooling, and common developer workflows.
  
  
• Understanding of networking fundamentals and common Layer 2 through Layer 7 protocols.
  
  
• Familiarity with secure development concepts including encryption fundamentals and modern authentication ideas such as TLS, SAML, or OIDC.
  
  
• Ability to design and implement software with an emphasis on code quality, maintainability, and reliability.
  
  
• Strong problem solving skills, clear communication, and the ability to work both independently and collaboratively.
  
  
• Demonstrated ability to learn new technologies and navigate large or complex systems.
  
  

General Preferred Qualifications

• Experience with cloud providers such as AWS, GCP, or Azure.
  
  
• Familiarity with containers and orchestration technologies such as Docker and Kubernetes.
  
  
• Experience with Infrastructure as Code tools including Terraform or Ansible.
  
  
• Experience with databases such as PostgreSQL, MySQL, Redis, or other distributed storage technologies.
  
  
• Exposure to observability or monitoring tools including Prometheus, Grafana, Elastic, or similar systems.
  
  
• Experience working with CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins.
  
  
• Experience building or supporting software at enterprise scale with considerations around throughput, latency, memory, and resource constraints.
  
  
• Awareness of cybersecurity practices, packet analysis tools such as Wireshark or tcpdump, or general familiarity with detection concepts.
  
  
• Ability to mentor others and contribute to a positive, collaborative engineering culture.
  
  

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington 

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

Software Engineer – Backend, Pricing (Senior level or higher)

Seattle, WA

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

The base pay range for this position is $176,000-$282,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Toronto, Ontario

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

As a Senior Gen AI Engineer, Salesforce Platform you will lead the development of AI-powered solutions across our Salesforce platform to streamline end-to-end business operations. Partnering with the Manager of Salesforce Operations and the Principal AI Architect, you will implement orchestrated AI agents using Salesforce Einstein, Agentforce, and DataCloud, and deliver secure, scalable solutions via Apex, Visualforce, Lightning Web Components, and robust APIs.

You will leverage generative AI to enhance efficiency, reduce manual work, and create smarter systems and workflows across our organization.  Candidates with a deep understanding of business operations and workflows are strongly preferred.  You will play a critical role in delivering AI solutions and frameworks that drive transformative business value.  This is a unique opportunity for full-stack development to experiment and solve for multiple use cases, as well as an opportunity to help educate business stakeholders on the power of AI solutions.

You will: 

• Design, develop, and deploy generative AI solutions that modernize business operations—automating workflows, surfacing insights, and delivering intelligent recommendations with a balance of speed, functionality, and long-term scalability.
• Build, integrate, and operationalize AI agents and automations using Salesforce Agentforce (skills, actions, orchestration, guardrails) embedded within Sales, Service, and CPQ workflows.
• Implement Einstein/Agentforce solutions, including prompt flows, tools, and custom actions grounded in Salesforce Data Cloud for personalized retrieval and contextual experiences.
• Develop and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to connect Salesforce with internal and external systems such as CPQ, CLM, provisioning, licensing, ERP, and finance platforms.
• Engineer data interoperability across systems—collaborating with architects and data teams to break down silos, build ETL pipelines, and establish automated data workflows.
• Build and deploy retrieval-augmented generation (RAG) patterns within Salesforce, implementing data indexing, grounding, safety measures, and evaluation loops.
• Collaborate closely with the Principal Architect and Principal AI Engineer to translate high-level business objectives into production-ready AI-powered solutions, ensuring alignment with architectural and engineering best practices.
• Prototype rapidly to validate new generative AI use cases and transition successful proofs-of-concept into stable, scalable, maintainable production applications.
• Contribute to full-stack development efforts—from API design to front-end UI—when implementing AI features across various business systems.
• Drive and contribute to CI/CD pipelines, code reviews, and release management using modern tooling (SFDX, GitHub Actions, Azure DevOps, etc.).
• Ensure compliance, data security, and governance across all AI and integration solutions, including considerations for PII, data residency, consent management, and auditability.
• Partner with business stakeholders (technical and non-technical) to understand requirements, gather feedback, and continuously improve AI-driven capabilities.
• Work alongside data scientists and AI specialists to evaluate and optimize prompt strategies, fine-tune models, and implement organization-specific AI enhancements.
• Lead knowledge sharing and enablement, mentoring teams and fostering adoption of AI technologies throughout the organization.
• Monitor, evaluate, and iterate on AI solution performance to ensure quality, accuracy, and measurable business value.
• Stay current on industry advancements in AI, automation, and Salesforce innovation, integrating relevant learnings into the organization’s technology roadmap.

What We’re Looking For: 

• Bachelor’s degree in computer science, Engineering, or a related field.
• 8+ years of Salesforce engineering experience and 3+ years delivering AI or automation solutions at scale within enterprise environments.
• Proven success modernizing legacy Salesforce orgs and implementing scalable architectures across Sales Cloud, Service Cloud, and Revenue (CPQ).
• AI & Automation:
  • Hands-on experience with Salesforce Einstein, Agentforce, and Data Cloud; practical AI engineering skills in prompt design, tool calling, RAG/grounding, evaluation, guardrails, and observability.
• Technical Skills:
  • Apex, Lightning Web Components (LWC), SOQL/SOSL, and Visualforce (for legacy support).
  • Proficiency in Python for AI service development, including FastAPI/Flask APIs, evaluation scripts, and LLM endpoint integration.
  • Strong API design and integration experience with Salesforce (bi-directional, streaming, and external APIs).
  • CI/CD experience using SFDX and modern tooling (GitHub Actions, Azure DevOps, etc.).
  • Familiarity with Azure or AWS cloud environments.
• Data Architecture:
  • Experience designing and managing data across Salesforce, Data Cloud, and other business systems including identity resolution, data sharing, and segment activation.
• Operational & Business Acumen:
  • Skilled in process mapping, workflow design, and identifying operational inefficiencies to enable AI-driven improvements.
• Change Enablement:
  • Experience driving adoption and integration of AI solutions across business functions.
• Excellent communication and presentation abilities with technical and non-technical stakeholders, including executives.
• Strong problem-solving, analytical, and troubleshooting capabilities.
• Collaborative, consultative mindset with the ability to translate business needs into technical solutions.
• Comfortable working autonomously in fast-paced, evolving environments.
• Embodies the principles of the Ideal Team Player: humble, hungry, and smart.
• Certifications:
  • • Required:
      • Salesforce Certified Platform Developer I & II.
    • Preferred:
      • JavaScript Developer I, Platform App Builder, Salesforce Certified Data Cloud Consultant or Platform Data Architect, and Salesforce Certified Integration Architect.
      • Trailhead Superbadges or credentials (Agentforce, Apex Specialist, Data Cloud)

Pay Range: $154,300-216,000

Other compensation: Bonus Eligible 

Perks & Benefits:  

💻 Remote work 

✈️ Travel expected 4-8 times per year for company-sponsored events 

🩺 Medical, dental, vision, life, and disability insurance 

📈 401K retirement plan; flexible spending and health savings account 

🏝️ 15 days of paid time off + additional front-loaded personal days 

🏖️ 14 company-recognized holidays + paid volunteer days  

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave  

🌈 LGBTQ+ Health Services 

🐶 Pet insurance  

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/  

 Remote with Moderate Travel (4- 8 trips per year) 

This is a remote position, and does require occasional travel, typically between 4-8 times per year. All travel expenses will be covered in accordance with company policy. 

The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements. 

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.  

Job Title: Junior Tools Engineer

Location: On Site · Seattle
Department: Engineering

About Pipe17

Pipe17 connects commerce businesses' selling channels, fulfillment providers, and back-office systems into one automated, reliable flow. We're solving the "post-order chaos" that happens when e-commerce platforms, ERPs, and 3PLs don't talk to each other.

Our AI-native cloud platform orchestrates orders, inventory, and shipments between systems like Shopify, Amazon, NetSuite, and ShipStation – powered by modern APIs, event-driven microservices, and intuitive web dashboards.

We’re growing fast, and we’re looking for a Junior System Engineer who is passionate about building tools, integrating APIs, and leveraging modern AI tooling to improve developer and business productivity. 

We’re looking for someone who’s AI-curious and eager to learn - if you’re excited by new tools and want a place to grow your skills while shipping real impact, you’ll thrive here.

Interview Note: You'll be screen sharing, using AI tool of your choice, and then you'll be programming together as a part of the process!

We can provide you an Anthropic API key to use during the interview if you don't want to use your own. This can be used for Claude Code, Cursor, and other tools.

What You’ll Do

As a Junior System Engineer, you will:

• Design, build, and maintain internal tools and automation scripts using JavaScript / TypeScript.
• Develop lightweight APIs, CLI tools, and web utilities to enhance developer productivity and system reliability.
• Implement and manage API integrations between internal systems and external services (e.g., GitHub, Jira, HubSpot, NetSuite, or internal APIs).
• Experiment with and build AI-powered developer tools and automations using ChatGPT, Claude Code, and other LLM APIs.
• Collaborate with infrastructure and product engineering teams to streamline developer workflows, deployments, and monitoring.
• Troubleshoot system and integration issues, ensuring smooth operation across environments.
• Write clear documentation and onboard teammates to the tools you create.
• Participate in design reviews, daily stand-ups, and sprint planning with cross-functional teams.
• Contribute to unit and integration testing for tools and APIs.

What You’ll Learn

Hands-on experience with:

• Node.js / TypeScript for automation, APIs, and internal developer tooling.
• REST / GraphQL APIs for integrations and data synchronization.
• AI tooling and automation using ChatGPT, Claude, and other LLM-based systems.
• Infrastructure scripting and configuration (AWS, Terraform, Docker).
• Authentication and authorization flows (OAuth2, API keys, JWT).
• CI/CD automation with GitHub Actions or similar pipelines.
• Cloud deployments (AWS Lambda, ECS, or similar containerized services).
• Observability and monitoring (CloudWatch, Datadog, Grafana).
• Secure coding and SOC 2-aligned development practices.

Requirements

Minimum Qualifications

• 0–2 years of experience in software or system engineering.
• Fluency in JavaScript / TypeScript.
• Experience building tools or automation scripts for personal or team use.
• Experience integrating APIs (REST, GraphQL, or webhooks).
• Familiarity with AI developer tools such as ChatGPT, Claude Code, GitHub Copilot, or Replit Ghostwriter.
• Familiarity with Git, CI/CD pipelines, and cloud platforms (AWS or similar).
• Curiosity about automation, integration, and AI-driven developer productivity.
• Strong problem-solving and communication skills.

Nice-to-Haves

• Experience with SQL / NoSQL databases.
• Familiarity with containerization (Docker) or serverless platforms.
• Exposure to scripting in Python or Bash.
• Understanding of cloud cost optimization and monitoring tools.
• Interest in e-commerce or logistics tech.

Why It Matters

Pipe17 powers the flow of customer orders and shipments for some of the fastest-growing and best-known brands in e-commerce. As part of the engineering team, you’ll build the tools and systems that make our developers faster, our platform more resilient, and our customers happier.

You’ll learn how scalable SaaS infrastructure and integration systems operate in production, and how AI-assisted automation can dramatically improve developer and business productivity.

What We Offer

• Competitive entry-level salary and benefits.
• Mentorship from senior engineers and architects.
• Exposure to real production SaaS environments.
• Flexible, remote-friendly culture.
• Clear path to mid-level roles in Systems, DevOps, or AI + Integrations Engineering.
  
  

How We Work

We value clarity, curiosity, and ownership. You’ll join a small, agile engineering team where your work ships weekly and directly impacts our platform and internal operations. At Pipe17, we encourage engineers who ask why, challenge assumptions, and love to automate solutions to messy problems.